{"id":"W2900510420","doi":"10.1109/bdva.2018.8534019","title":"Multiple Workspaces in Visual Analytics","year":2018,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Workspace; Computer science; Visual analytics; Visualization; Exploratory analysis; Analytics; Human–computer interaction; Process (computing); Data visualization; Exploratory research; Work (physics); Interactive visual analysis; Path (computing); Data science; Data mining; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01934282,0.001475019,0.001068484,0.003955913,0.004049425,0.01271919,0.003457551,0.003513908,0.009768778],"category_scores_gemma":[0.04675275,0.002362991,0.002013875,0.003665737,0.008769673,0.02403834,0.01525205,0.004139512,0.00258626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156777,"about_ca_system_score_gemma":0.002263541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00186842,"about_ca_topic_score_gemma":0.001526052,"domain_scores_codex":[0.9755753,0.01717633,0.001165129,0.002911963,0.002361761,0.0008094133],"domain_scores_gemma":[0.9442445,0.03635215,0.002806349,0.01116763,0.002753327,0.002676135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006057914,0.0003105067,0.00476786,0.002178663,0.0001492678,0.0007019202,0.03559173,0.009388288,0.006264977,0.5932317,0.01570528,0.3311039],"study_design_scores_gemma":[0.0003275806,0.0004629657,0.002379065,0.002281031,0.0002301283,0.001802617,0.007442072,0.04128145,0.008065379,0.6505277,0.2848881,0.0003118411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01640667,0.005144679,0.9575293,0.003106379,0.0004123522,0.0002447843,0.0001180932,0.003708697,0.01332894],"genre_scores_gemma":[0.1645127,0.00188997,0.8270274,0.0005587497,0.0002928327,0.0006397677,0.0002339967,0.001269082,0.003575558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01934282,"threshold_uncertainty_score":0.1022959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759077134307323,"score_gpt":0.3255944979311638,"score_spread":0.2980037265880905,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}